The three-dimensional reconstruction of multiple interacting humans given a monocular image is crucial for the general task of scene understanding, as often capturing the subtleties of interaction is the very reason for taking a picture. Current 3D human reconstruction methods either treat each person independently, ignoring most of the context, or reconstruct people jointly, but cannot recover interactions correctly when people are in close proximity. In this work, we propose models that learn…